Sign up for our newsletter and get the latest big data news and analysis.

Managing and Scaling Applications in Kubernetes

In early 2021, Traefik Labs conducted a survey to measure the market adoption of Kubernetes and to understand the challenges organizations face in managing and scaling applications. The results show that while businesses clearly see the need for Kubernetes, they still face difficulties when it comes to
adopting and scaling the technology.

insideBIGDATA Guide to Big Data for Finance (Part 3)

[SPONSORED CONTENT] This insideBIGDATA technology guide co-sponsored by Dell Technologies and AMD, “insideBIGDATA Guide to Big Data for Finance,” provides direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively across a few distinct areas in today’s financial service institutions (FSI) climate.

insideBIGDATA Guide to Big Data for Finance (Part 2)

This insideBIGDATA technology guide co-sponsored by Dell Technologies and AMD, insideBIGDATA Guide to Big Data for Finance, provides direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively across a few distinct areas in today’s financial service institutions (FSI) climate.

The State of AI and Machine Learning

In the 7th edition of its annual State of AI and Machine Learning report, Appen continues to explore the strategies  employed by companies large and small in successfully deploying AI. The reports surveys business  leaders and technical practitioners ( referred to as technologists) alike to understand  their priorities, their successes, and their bottlenecks when it […]

AI Under the Hood: Object Detection Model Capable of Identifying Floating Plastic Beneath the Surface of the Ocean

A group of researchers, Gautam Tata, Sarah-Jeanne Royer, Olivier Poirion, and Jay Lowe, have written a new paper “DeepPlastic: A Novel Approach to Detecting Epipelagic Bound Plastic Using Deep Visual Models.” The workflow described in the paper includes creating and preprocessing a domain-specific data set, building an object detection model utilizing a deep neural network, and evaluating the model’s performance.

Mastercard’s Five Pillars of AI

Businesses are rushing to adopt AI — but they need to consider ethics right off the bat if they want to build trust and future-proof their business. This special report from Brighterion highlights how more than 60% of consumers consider brands more trustworthy if they think their use of AI is ethical — meaning today’s businesses must be able to demonstrate responsible AI as the technology becomes critical to the future of work.

2021 MLOps Platforms Vendor Analysis Report

The Neuromation team has just published a new report on the state of Machine Learning Operations Platforms in 2021. MLOps was defined as a separate discipline only recently when the ML practitioners moved from university labs to corporate boardrooms. AI and ML leaders today already have a better understanding of the MLOps lifecycle and the procedures and technology required for deploying new models into production and subsequently scaling them.

Quantum Machine Learning – An Introduction to QGANs

In this contributed article, data scientists from Sigmoid discuss quantum machine learning and provide an introduction to QGANs. Quantum GANs which use a quantum generator or discriminator or both is an algorithm of similar architecture developed to run on Quantum systems. The quantum advantage of various algorithms is impeded by the assumption that data can be loaded to quantum states. However this can be achieved for specific but not generic data.

Despite Data’s Importance, More than a Third of Business Leaders Don’t Use It for Critical Decisions

Talend (NASDAQ: TLND), a global leader in data integration and integrity, released the results of a survey1 that highlighted the challenges businesses face in becoming data-driven organizations and the solutions to these challenges. It’s clear that business leaders know how important data is — two-thirds report that they use data every day.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – April 2021

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.